# Machine learning development company

> Custom ML models for prediction, classification and automation in Python, TensorFlow and PyTorch. Built to run in production, not just in a notebook.

Source: https://codeintelli.com/services/machine-learning

You have years of data. It should tell you what happens next.

We build machine learning models for forecasting, scoring, recommendations and anomaly detection, then plug them into the systems your team already uses.

## Problems we solve

- Our forecasts are spreadsheets and gut feel: Inventory, staffing and cash planning depend on whoever built the formula.
- The model works in a notebook and nowhere else: Someone proved it once. Nobody turned it into something the business uses.
- Accuracy dropped and nobody noticed: The market changed, the model didn't, and decisions kept running on stale predictions.
- We don't know if machine learning is worth it for us: Nobody has told you plainly whether your data is good enough.

## What we build

- Forecasting: Demand, revenue, staffing and inventory forecasts with clear ranges, not single guesses
- Scoring and classification: Lead scoring, churn risk, fraud flags and priority routing
- Recommendations: Product, content and next-step suggestions based on real behavior
- MLOps: Versioned models, automated retraining and drift alerts with MLflow or SageMaker

## How we work

- Define (1 week): We agree on the decision the model will support, how we'll measure success and what data we need. You get a written plan and a fixed price.
- Validate (2-3 weeks): We build a baseline and a first model on your historical data and show you the results honestly, including where it's weak.
- Build (6-10 weeks): We package the model behind an API, connect it to your systems and add monitoring, logging and retraining pipelines.
- Maintain (Ongoing): We watch for drift, retrain on new data and report performance, so the model stays useful as your business changes.

## Results

- Elite Quiz: Trivia app with AI opponents and AI-personalised question picks. Built with React Native and Socket.io for real-time play.
- Growfone: Our own AI business phone: calls, WhatsApp, SMS and AI follow-ups in one place. Live product.
- Example: Demand forecasting: For example, for a retailer we would build a model that forecasts demand per product and suggests reorder amounts.

## Technologies

scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker, Vertex AI, Feature Store, Airflow, Spark ML, Ray

## Questions

### How do we know machine learning will work for our problem?
We test it on your historical data in the validation phase, before the larger build. If a simple rule or a report does the job just as well, we'll say so and save you the spend.

### How long until we see results?
You see working results in a demo every week from the first sprint. The written plan you get within 48 hours sets out each phase, what it delivers and when.

### We don't have a data science team. Can we run this ourselves?
Yes. We build monitoring, retraining and plain-language documentation, and we walk your developers through how it all fits. If you prefer, we keep looking after it for you.

### Is our data safe with you?
We sign an NDA before you share anything. We work in your cloud account where possible with least-privilege access, and you own all code, models and documentation.

## Contact

- Email: biz@codeintelli.com
- Phone / WhatsApp: +91 92745 85376
- Book a free 30-minute call: https://codeintelli.com/book-a-call